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Tune Lossless compression for lower qualities.
This is required for WebP lossy+Alpha images, where Alpha channel is taking 60-70% of the compression (CPU) cycles. Also evaluated on 1000 PNG corpus and overall compression speed is 15-40% better for lossy (PNG+Alpha) compression. The pure lossless compression numbers are almost same (or little better) with this change. Change-Id: I9e5ae7372ed6227a9a5b64cd9cff84c747195a57
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@ -80,7 +80,7 @@ static int EncodeLossless(const uint8_t* const data, int width, int height,
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config.lossless = 1;
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config.method = effort_level; // impact is very small
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// Set a moderate default quality setting for alpha.
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config.quality = 6.f * effort_level;
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config.quality = 5.f * effort_level;
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assert(config.quality >= 0 && config.quality <= 100.f);
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ok = VP8LBitWriterInit(&tmp_bw, (width * height) >> 3);
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@ -555,10 +555,10 @@ static int BackwardReferencesHashChainDistanceOnly(
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}
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// 2) Add to the hash_chain (but cannot add the last pixel)
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{
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const int last = (len < pix_count - 1 - i) ? len
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: pix_count - 1 - i;
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for (k = 0; k < last; ++k) {
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HashChainInsert(hash_chain, &argb[i + k], i + k);
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const int last = (len + i < pix_count - 1) ? len + i
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: pix_count - 1;
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for (k = i; k < last; ++k) {
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HashChainInsert(hash_chain, &argb[k], k);
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}
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}
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// 3) jump.
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@ -390,17 +390,12 @@ int VP8LGetHistoImageSymbols(int xsize, int ysize,
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// Heuristic params for HistogramCombine().
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const int num_tries_no_success = 8 + (quality >> 1);
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const int iter_mult = (quality < 27) ? 1 : 1 + ((quality - 27) >> 4);
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int num_pairs = (quality >> 1);
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const int num_pairs = (quality < 25) ? 10 : (5 * quality) >> 3;
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VP8LHistogramSet* const image_out =
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VP8LAllocateHistogramSet(histo_image_raw_size, cache_bits);
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if (image_out == NULL) return 0;
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if (num_pairs > (histo_image_raw_size >> 2)) {
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num_pairs = histo_image_raw_size >> 2;
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}
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num_pairs += 10;
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// Build histogram image.
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HistogramBuildImage(xsize, histo_bits, refs, image_out);
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// Collapse similar histograms.
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